gSeaGen: The KM3NeT GENIE-based code for neutrino telescopes

Aiello, S.; Albert, A.; Garre, S. Alves; Aly, Z.; Ameli, F.; André, M.; Androulakis, G.; Anghinolfi, M.; Anguita, M.; Anton, Gisela; Ardid, M.; Aublin, J.; Bagatelas, C.; Barbarino, G. C.; Baret, B.; Pree, S. Başeğmez du; Bendahman, M.; Berbee, E.; Berg, A. M. van den; Bertín, V.; Biagi, S.; Biagioni, A.; Bissinger, M.; Boettcher, Markus; Boumaaza, J.; Bouta, M.; Bouwhuis, M. C.; Bozza, C.; Brânzaş, H.; Bruchner, Marc; Bruijn, R.; Brünner, J.; Buis, E. J.; Buompane, R.; Busto, J.; Calvo, D.; Capone, A.; Carretero, V.; Castaldi, Paolo; Celli, S.; Chabab, M.; Chau, N.; Chen, A.; Cherubini, S.; Chiarella, V.; Chiarusi, T.; Circella, M.; Cocimano, R.; Coelho, J. A. B.; Coleiro, A.; Colomer-Molla, M.; Coniglione, R.; Corredoira, Imanol; Coyle, P.; Creusot, A.; Cuttone, G.; D’onofrio, A.; Dallier, R.; Palma, M. De; Palma, I. Di; Dı́az, A.; Diego-Tortosa, D.; Distefano, C.; Domi, Alba; Donà, R.; Donzaud, C.; Dornic, D.; Dörr, M.; Drouhin, D.; Durocher, Mora; Eberl, T.; Eijk, D. van; Bojaddaini, I. El; Elsäesser, D.; Enzenhöfer, A.; Espinosa, V.; Fermani, P.; Ferrara, G.; Filipović, Miroslav; Filippini, F.; Franco, A.; Fusco, L.; Gabella, Omar; Gal, T.; Garcia, A.; Garufi, F.; Gatelet, Y.; Geißelbrecht, N.; Gialanella, L.; Giorgio, Emidio; Gozzini, S. R.; Gracía, R.; Graf, Κ.; Grasso, Dario; Grella, G.; Guderian, D.; Guidi, C.; Hallmann, S.; Hamdaoui, H.; Haren, Hans van; Heijboer, A.; Hekalo, A.; Hernández-Rey, J. J.; Hofestädt, J.; Huang, F.; Ibnsalih, W. Idrissi; Illuminati, G.; James, C. W.; Jong, M. de; Jong, P. de; Jung, B. J.; Kadler, M.; Kalaczyński, P.; Kalekin, O.; Katz, U.; Khan-Chowdhury, N. R.; Knaap, F. van der; Koffeman, E.; Kooijman, P.; Kouchner, A.; Kreter, M.; Kulikovskiy, V.; Lahmann, R.; Larosa, G.; Breton, R. P.; Leonardi, O.; Leone, F.; Leonora, E.; Levi, G.; Lincetto, Massimiliano; Clark, M. Lindsey; Lipreau, T.; Lonardo, A.; Longhitano, F.; Lopez-Coto, D.; Maderer, L.; Mańczak, J.; Mannheim, K.; Margiotta, A.; Marinelli, A.; Markou, C.; Martin, L.; Martínez-Mora, J. A.; Martini, A.; Marzaioli, Fabio; Mastroianni, S.; Mazzou, S.; Melis, K.; Miele, Gennaro; Migliozzi, P.; Migneco, E.; Mijakowski, P.; Miranda, Luis Salvador; Modebadze, Z.; Mollo, C.M.; Morganti, M.; Möser, Michael; Moussa, A.; Müller, R.; Musumeci, M.; Nauta, L.; Navas, S.; Nicolau, C. A.; Fearraigh, B. Ó; Organokov, M.; Orlando, A.; Papalashvili, G.; Papaleo, R.; Pastore, C.; Păun, A.; Păvălaş, G. E.; Pellegrino, C.; Perrin-Terrin, M.; Piattelli, P.; Pieterse, C.; Pikounis, K.; Pisanti, O.; Poirè, C.; Popa, V.; Post, M.; Pradier, T.; Pühlhofer, G.; Pulvirenti, S.; Quinn, L.; Rabyang, O.; Raffaelli, F.; Randazzo, N.; Rapicavoli, Antonio; Razzaque, S.; Real, D.; Reck, S.; Reubelt, J.; Riccobene, G.; Richer, M.; Rivoire, S.; Rovelli, A.; Greus, F. Salesa; Samtleben, D. F. E.; Losa, A. Sánchez; Sanguineti, M.; Santangelo, A.; Santonocito, D.; Sapienza, P.; Schnabel, J.; Sciacca, Virginia; Seneca, J.; Sgura, I.; Shanidze, R.; Sharma, Ankur; Simeone, F.; Sinopoulou, A.; Spisso, B.; Spurio, M.; Stavropoulos, D.; Steijger, J. J. M.; Stellacci, Francesco; Taiuti, M.; Tayalati, Y.; Tenllado, E.; Thakore, T.; Tingay, S. J.; Tzamariudaki, E.; Tzanetatos, D.; Elewyck, V. Van; Vannoye, G.; Vasileiadis, G.; Versari, F.; Viola, S.; Vivolo, D.; Wasseige, Gwenhaël de; Wilms, J.; Wojaczyński, R.; Wolf, E. de; Zaborov, D.; Zavatarelli, S.; Zegarelli, A.; Zornoza, J. D.; Zúñiga, J.; Żywucka, N.

doi:10.1016/j.cpc.2020.107477

Cited by 34 publications

(30 citation statements)

References 19 publications

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“…Neutrino induced interactions in sea water are simulated with gSeaGen [27], a software package based on the widely used GENIE (version 2.12.10) code [28,29]. Neutrinos and antineutrinos in the energy range from 1 to 100 GeV are simulated and weighted to reproduce the conventional atmospheric neutrino flux following the Honda model [30].…”

Section: Simulationmentioning

confidence: 99%

Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA

Aiello¹,

Albert²,

Garre³

et al. 2022

Eur. Phys. J. C

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The next generation of water Cherenkov neutrino telescopes in the Mediterranean Sea are under construction offshore France (KM3NeT/ORCA) and Sicily (KM3NeT/ARCA). The KM3NeT/ORCA detector features an energy detection threshold which allows to collect atmospheric neutrinos to study flavour oscillation. This paper reports the KM3NeT/ORCA sensitivity to this phenomenon. The event reconstruction, selection and classification are described. The sensitivity to determine the neutrino mass ordering was evaluated and found to be 4.4$$\sigma $$ σ if the true ordering is normal and 2.3$$\sigma $$ σ if inverted, after 3 years of data taking. The precision to measure $$\varDelta m^2_{32}$$ Δ m 32 2 and $$\theta _{23}$$ θ 23 were also estimated and found to be $$85 . 10^{-6}~{\mathrm{eV}^{2}}$$ 85 . 10 - 6 eV 2 and $$(^{+1.9}_{-3.1})^{\circ }$$ ( - 3.1 + 1.9 ) ∘ for normal neutrino mass ordering and, $$75 . 10^{-6}~{\mathrm{eV}^{2}}$$ 75 . 10 - 6 eV 2 and $$(^{+2.0}_{-7.0})^{\circ }$$ ( - 7.0 + 2.0 ) ∘ for inverted ordering. Finally, a unitarity test of the leptonic mixing matrix by measuring the rate of tau neutrinos is described. Three years of data taking were found to be sufficient to exclude "Equation missing" event rate variations larger than 20% at $$3\sigma $$ 3 σ level.

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Section: Simulationmentioning

confidence: 99%

Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA

Aiello¹,

Albert²,

Garre³

et al. 2022

Eur. Phys. J. C

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“…[22]. Neutrino interactions are generated with gSeaGen [25], which is based on GENIE [26]. Secondary particles and their emitted Cherenkov light are propagated with KM3Sim [27], a software package based on GEANT4 [28].…”

Section: Sterile Neutrino Analysismentioning

confidence: 99%

Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA

Aiello

López

Díaz

et al. 2021

J. High Energ. Phys.

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KM3NeT/ORCA is a next-generation neutrino telescope optimised for atmospheric neutrino oscillations studies. In this paper, the sensitivity of ORCA to the presence of a light sterile neutrino in a 3+1 model is presented. After three years of data taking, ORCA will be able to probe the active-sterile mixing angles θ14, θ24, θ34 and the effective angle θμe, over a broad range of mass squared difference $$ \Delta {m}_{41}^2 $$ ∆ m 41 2 ∼ [10−5, 10] eV2, allowing to test the eV-mass sterile neutrino hypothesis as the origin of short baseline anomalies, as well as probing the hypothesis of a very light sterile neutrino, not yet constrained by cosmology. ORCA will be able to explore a relevant fraction of the parameter space not yet reached by present measurements.

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“…Simulation of muon and electron neutrinos remains untouched with respect to the previous version of gSeaGen [2] since it was designed to work at higher energies. In the case of tau neutrinos, the outgoing tau from Charged Current interactions was decayed on the spot and PYTHIA6 [7] was used to compute the kinematics of the decay products.…”

Section: Neutrino Interactionmentioning

confidence: 99%

“…The gSeaGen framework [2] was designed to simulate efficiently neutrino interactions in large volumes accounting for the aforementioned points, being for this reason a very suitable generator for neutrino telescopes. In its early stages, the package was mainly developed for KM3NeT.…”

mentioning

confidence: 99%

Upgrading gSeaGen: from MeV to PeV neutrinos

Soto,

Distefano,

Kalaczyński

2021

Preprint

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The gSeaGen framework has been upgraded to simulate events detectable in neutrino telescopes induced by neutrino or cosmic ray interactions. The new version is well-suited to generate neutrino interactions at energies from a few MeV to EeV, profiting from the latest GENIE extensions to lower and higher energies. In addition, a brand new functionality to propagate leptons from CORSIKA air showers has been developed. Novel features of gSeaGen will be presented, related to simulation of PeV tau neutrinos and charged lepton propagation, using the KM3NeT detectors as physics case.

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gSeaGen: The KM3NeT GENIE-based code for neutrino telescopes

Cited by 34 publications

References 19 publications

Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA

Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA

Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA

Upgrading gSeaGen: from MeV to PeV neutrinos

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